Decision-making in structural engineering using BHARAT-II method

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Published Aug 19, 2024
https://doi.org/10.46223/HCMCOUJS.acs.en.14.2.54.2024
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Received: 2024-05-28
Accepted: 2024-08-14
Published: 2024-08-19
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14(2)2024

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Ravipudi Venkata Rao
Sardar Vallabhbhai National Institute of Technology, Surat, India
https://orcid.org/0000-0002-9957-1086
Ravipudi Jaya Lakshmi
University of Virginia, VA, USA

Abstract

This paper presents a simple and effective multi-attribute decision-making method, named as BHARAT-II (Best Holistic Adaptable Ranking of Attributes Technique - II), to choose the best alternatives for different structural engineering related problems. Two case studies are presented to demonstrate the proposed multi-attribute decision-making method. The first case study addresses the problem of (a). selecting the best construction method for a bridge out of 4 available methods considering 7 selection attributes, (b). selecting best structural system of bridge out of 7 structural systems considering 11 selection attributes, and (c). selecting best construction material out of 4 materials considering 4 selection attributes; the second case study addresses the problem of selecting the best structural system of a housing project by considering 4 alternative structural systems and 5 selection attributes (i.e., criteria) involving 19 sub-attributes (sub-criteria). The results of the proposed BHARAT-II decision-making method are compared with those of other well-known multi-attribute decision-making methods. The proposed method is shown to be simple to implement, providing a logical way for allocating weights to the selection attributes and adaptable to solve the best alternative selection problems of structural engineering. 


 

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Venkata Rao, R., & Jaya Lakshmi, R. (2024). Decision-making in structural engineering using BHARAT-II method. HCMCOU Journal of Science – Advances in Computational Structures, 14(2). https://doi.org/10.46223/HCMCOUJS.acs.en.14.2.54.2024
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